Resource title

On the Role of Counterfactuals in Inferring Causal Effects of Treatments

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Resource description

Causal inference in the empirical sciences is based on counterfactuals. This paper presents the counterfactual account of causation in terms of Lewis's possible-world semantics, and reformulates the statistical potential outcome framework and its underlying assumptions using counterfactual conditionals. I discuss varieties of causally meaningful counterfactuals for the case of a finite number of treatments, and illustrate these using a simple settheoretical framework. The paper proceeds to examine proximity relations between possible worlds, and discusses implications for empirical practice.

Resource author

Jochen Kluve

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Resource publish date

Resource language

eng

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text/html

Resource resource URL

http://hdl.handle.net/10419/21213

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Adapt according to the presented license agreement and reference the original author.